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Path planning algorithm to minimize an overlapped path and turning number for an underwater mining robot

机译:路径规划算法,用于最小化水下采矿机器人的重叠路径和转弯数

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This paper considers the problem of minimizing an overlapped path and turning number to cover an uneven terrain ocean floor for an underwater mining robot. The purpose of this algorithm is to generate the shortest path to travel through the entire given bathymetric map with minimum overlapping path and minimum turning number based on binary map, cell decomposition, minimal sum of altitude method and depth-first search algorithm. To do this task, the following tasks are performed. Firstly, a binary map is obtained by applying threshold to the high slope regions of the ocean floor. Secondly, Morse cell decomposition method is applied to divide the whole area of work space into cells in the vertical and horizontal directions. To minimize the turning number, a minimal sum of altitude method is applied to the combination of vertical and horizontal cell decompositions. Finally, the coverage order is calculated by depth-first search algorithm. The simulation result shows that the proposed method generates the short coverage path with minimum overlapping, minimum turning number and fast coverage time compared to vertical and horizontal cell decomposition methods.
机译:本文考虑了最小化重叠路径和转弯数以覆盖水下采矿机器人的不平坦地形海底的问题。该算法的目的是基于二值图,单元分解,最小高度和法和深度优先搜索算法,以最短的路径生成具有最小重叠路径和最小转弯数的整个给定测深图。要执行此任务,请执行以下任务。首先,通过将阈值应用于海床的高坡度区域获得二元图。其次,采用莫尔斯单元分解方法将工作空间的整个区域在垂直和水平方向上划分为多个单元。为了最大程度地减少转弯次数,对垂直和水平像元分解的组合应用最小高度合计方法。最后,通过深度优先搜索算法计算覆盖顺序。仿真结果表明,与垂直和水平小区分解方法相比,该方法生成的重叠路径短,转弯次数最少,覆盖时间短。

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